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Question 1
A board member asks for the umbrella term covering both a hand-coded chess program and a neural text generator. Which term is broad enough to include both?
- Deep learning
- Rule-based automation
- Natural language processing (NLP)
- Artificial intelligence (AI)
Explanation
Correct Answer
D:Both are approaches to making machines perform intelligent tasks, although their methods differ. AI broadly covers systems that perform tasks associated with human intelligence, including systems that do not learn from data.
Incorrect Answers
A:Deep learning uses multilayer neural networks and is a narrower class of machine learning. This does not directly meet the case requirement to cover all computer systems exhibiting intelligent behavior.
B:A deterministic rule engine follows authored conditions without learning from a training dataset. This does not directly meet the case requirement to cover all computer systems exhibiting intelligent behavior.
C:NLP concerns computational processing and understanding of human language and is not limited to creating new content. This does not directly meet the case requirement to cover all computer systems exhibiting intelligent behavior.
Question 2
A fraud team trains a data-driven system on historical approved and rejected transactions instead of maintaining hundreds of hand-coded rules. Without assuming a particular neural-network architecture, which broad discipline includes this approach?
- Deep learning
- Machine learning (ML)
- Rule-based automation
- Natural language processing (NLP)
Explanation
Correct Answer
B:Historical examples shape a predictive model rather than a fixed decision table. ML learns patterns from data to make predictions or decisions rather than relying only on explicitly programmed rules.
Incorrect Answers
A:Deep learning uses multilayer neural networks and is a narrower class of machine learning. This does not directly meet the case requirement to learn a transaction prediction rule from observed data.
C:A deterministic rule engine follows authored conditions without learning from a training dataset. This does not directly meet the case requirement to learn a transaction prediction rule from observed data.
D:NLP concerns computational processing and understanding of human language and is not limited to creating new content. This does not directly meet the case requirement to learn a transaction prediction rule from observed data.
Question 3
A computer vision model uses dozens of neural-network layers to interpret manufacturing photos. Which term captures the modeling approach most precisely?
- Artificial intelligence (AI)
- Deep learning
- Rule-based automation
- Natural language processing (NLP)
Explanation
Correct Answer
B:The model relies on many learned neural layers, not simply a broad AI umbrella. Deep learning uses multilayer neural networks and is a narrower class of machine learning.
Incorrect Answers
A:AI broadly covers systems that perform tasks associated with human intelligence, including systems that do not learn from data. This does not directly meet the case requirement to describe a many-layer neural model architecture.
C:A deterministic rule engine follows authored conditions without learning from a training dataset. This does not directly meet the case requirement to describe a many-layer neural model architecture.
D:NLP concerns computational processing and understanding of human language and is not limited to creating new content. This does not directly meet the case requirement to describe a many-layer neural model architecture.
Question 4
A creative team requests fresh campaign taglines that were not stored as exact records. Which AI category directly describes the content-creation behavior?
- Artificial intelligence (AI)
- Generative AI
- Rule-based automation
- Deep learning
Explanation
Correct Answer
B:The output is newly composed language rather than a label from a fixed catalog. Generative AI synthesizes new text, images, audio, code or other content from learned representations.
Incorrect Answers
A:AI broadly covers systems that perform tasks associated with human intelligence, including systems that do not learn from data. This does not directly meet the case requirement to generate new wording tailored to a prompt.
C:A deterministic rule engine follows authored conditions without learning from a training dataset. This does not directly meet the case requirement to generate new wording tailored to a prompt.
D:Deep learning uses multilayer neural networks and is a narrower class of machine learning. This does not directly meet the case requirement to generate new wording tailored to a prompt.
Question 5
A service desk classifies the sentiment of emails written by customers. Which language-oriented field does that involve even when no reply is generated?
- Natural language processing (NLP)
- Deep learning
- Generative AI
- Machine learning (ML)
Explanation
Correct Answer
A:Analyzing existing human-language text is an NLP use case without necessarily generating output. NLP concerns computational processing and understanding of human language and is not limited to creating new content.
Incorrect Answers
B:Deep learning uses multilayer neural networks and is a narrower class of machine learning. This does not directly meet the case requirement to analyze meaning in customer text.
C:Generative AI synthesizes new text, images, audio, code or other content from learned representations. This does not directly meet the case requirement to analyze meaning in customer text.
D:ML learns patterns from data to make predictions or decisions rather than relying only on explicitly programmed rules. This does not directly meet the case requirement to analyze meaning in customer text.
Question 6
A payroll system pays an allowance whenever an employee meets a fixed tenure threshold; no model is trained. What implementation approach is described?
- Deep learning
- Generative AI
- Natural language processing (NLP)
- Rule-based automation
Explanation
Correct Answer
D:The decision follows a programmer-defined threshold instead of learned parameters. A deterministic rule engine follows authored conditions without learning from a training dataset.
Incorrect Answers
A:Deep learning uses multilayer neural networks and is a narrower class of machine learning. This does not directly meet the case requirement to execute explicit business rules predictably.
B:Generative AI synthesizes new text, images, audio, code or other content from learned representations. This does not directly meet the case requirement to execute explicit business rules predictably.
C:NLP concerns computational processing and understanding of human language and is not limited to creating new content. This does not directly meet the case requirement to execute explicit business rules predictably.
Question 7
A design tool creates several candidate product images from a written brief. Which technology class makes the requested novel content possible?
- Natural language processing (NLP)
- Machine learning (ML)
- Artificial intelligence (AI)
- Generative AI
Explanation
Correct Answer
D:Generating visual alternatives is content synthesis, not classification of existing images. Generative AI synthesizes new text, images, audio, code or other content from learned representations.
Incorrect Answers
A:NLP concerns computational processing and understanding of human language and is not limited to creating new content. This does not directly meet the case requirement to produce new artwork from instructions.
B:ML learns patterns from data to make predictions or decisions rather than relying only on explicitly programmed rules. This does not directly meet the case requirement to produce new artwork from instructions.
C:AI broadly covers systems that perform tasks associated with human intelligence, including systems that do not learn from data. This does not directly meet the case requirement to produce new artwork from instructions.
Question 8
An inventory model uses years of orders to estimate next month's demand. What field best describes learning the forecasting relationship from data?
- Generative AI
- Machine learning (ML)
- Deep learning
- Artificial intelligence (AI)
Explanation
Correct Answer
B:Forecast accuracy depends on learned statistical relationships in the historical examples. ML learns patterns from data to make predictions or decisions rather than relying only on explicitly programmed rules.
Incorrect Answers
A:Generative AI synthesizes new text, images, audio, code or other content from learned representations. This does not directly meet the case requirement to learn a demand forecast from historical records.
C:Deep learning uses multilayer neural networks and is a narrower class of machine learning. This does not directly meet the case requirement to learn a demand forecast from historical records.
D:AI broadly covers systems that perform tasks associated with human intelligence, including systems that do not learn from data. This does not directly meet the case requirement to learn a demand forecast from historical records.
Question 9
A speech recognition model contains many stacked transformer layers. What subclass of ML is being used?
- Deep learning
- Artificial intelligence (AI)
- Natural language processing (NLP)
- Rule-based automation
Explanation
Correct Answer
A:Its depth and learned neural transformations make it a deep learning system. Deep learning uses multilayer neural networks and is a narrower class of machine learning.
Incorrect Answers
B:AI broadly covers systems that perform tasks associated with human intelligence, including systems that do not learn from data. This does not directly meet the case requirement to describe multilayer neural processing.
C:NLP concerns computational processing and understanding of human language and is not limited to creating new content. This does not directly meet the case requirement to describe multilayer neural processing.
D:A deterministic rule engine follows authored conditions without learning from a training dataset. This does not directly meet the case requirement to describe multilayer neural processing.
Question 10
A legacy application routes requests based only on explicitly maintained category-to-team mappings. Which approach is present, absent model training?
- Generative AI
- Deep learning
- Artificial intelligence (AI)
- Rule-based automation
Explanation
Correct Answer
D:An authored mapping table determines the result without a data-driven training process. A deterministic rule engine follows authored conditions without learning from a training dataset.
Incorrect Answers
A:Generative AI synthesizes new text, images, audio, code or other content from learned representations. This does not directly meet the case requirement to route inputs using predefined deterministic logic.
B:Deep learning uses multilayer neural networks and is a narrower class of machine learning. This does not directly meet the case requirement to route inputs using predefined deterministic logic.
C:AI broadly covers systems that perform tasks associated with human intelligence, including systems that do not learn from data. This does not directly meet the case requirement to route inputs using predefined deterministic logic.
Generative AI Leader Practice Tests
